Scientific direction Development of key enabling technologies
Transfer of knowledge to industry

PostDocs : selection by topics

Technological challenges >> Artificial intelligence & Data intelligence
3 proposition(s).

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Application of a MDE approach to AI-based planning for robotic and autonomous systems

Département Ingénierie Logiciels et Systèmes (LIST)

Labo.conception des systèmes embarqués et autonomes

01-05-2020

PsD-DRT-20-0063

matteo.morelli@cea.fr

The complexity of robotics and autonomous systems (RAS) can only be managed with well-designed software architectures and integrated tool chains that support the entire development process. Model-driven engineering (MDE) is an approach that allows RAS developers to shift their focus from implementation to the domain knowledge space and to promote efficiency, flexibility and separation of concerns for different development stakeholders. One key goal of MDE approaches is to be integrated with available development infrastructures from the RAS community, such as ROS middleware, ROSPlan for task planning, BehaviorTree.CPP for execution and monitoring of robotics tasks and Gazebo for simulation. The goal of this post-doc is to investigate and develop modular, compositional and predictable software architectures and interoperable design tools based on models, rather than code-centric approaches. The work must be performed in the context of European projects such as RobMoSys (www.robmosys.eu), and other initiatives on AI-based task planning and task execution for robotics and autonomous systems. The main industrial goal is to simplify the effort of RAS engineers and thus allowing the development of more advanced, more complex autonomous systems at an affordable cost. In order to do so, the postdoctoral fellow will contribute to set-up and consolidate a vibrant ecosystem, tool-chain and community that will provide and integrate model-based design, planning and simulation, safety assessment and formal validation and verification capabilities.

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Tools and methods for Industry 4.0 complex systems engineering

Département Ingénierie Logiciels et Systèmes (LIST)

Labo.conception des systèmes embarqués et autonomes

01-10-2020

PsD-DRT-20-0103

saadia.dhouib@cea.fr

The Fourth Industrial Revolution or Industry 4.0, is the current transformation of traditional manufacturing and industrial practices with the latest smart and digital technologies. Interoperability is the basis of Industry 4.0 and guarantees open and pluralistic markets. It enables systems, devices and applications to communicate with one another and work together seamlessly. Open standards are essential components for interoperability, the Asset Administration Shell (AAS) is a promising standard for ensuring interoperability and implementing the digital twin in the manufacturing domain. The AAS is being further developed in application-oriented research projects (German and French national projects, as well as European projects), tested in ten testbeds and implemented in (at least) two pilot projects. The goal of your postdoc will be to investigate methods and develop modular, compositional and interoperable software architectures and tools based on models and integrated with available standards (AAS, AutomationML, SenML, OPC-UA, CoaAP, MQTT) and software frameworks from the Industry 4.0 community, such as Basyx . Artificial intelligence plays a key role in terms of enabling assets to exchange data and information directly with one another and to make decisions autonomously. You will also investigate the design and implementation of AI components to arrive at new solutions and business models in the AAS based ecosystem. Together with senior members of the lab, you will get involved in EU projects such as CanvAAS and AI-REGIO. The main goal is to set-up and consolidate a vibrant ecosystem, tool-chain and community that will provide and integrate model-based design for Industry 4.0, digital twin implementation and liable AI solutions in the manufacturing domain.

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Post-doctoral position in AI safety and assurance at CEA LIST

Département Ingénierie Logiciels et Systèmes (LIST)

Labo.conception des systèmes embarqués et autonomes

01-10-2020

PsD-DRT-20-0110

morayo.adedjouma@cea.fr

The position is related to safety assessment and assurance of AI (Artificial Intelligence)-based systems that used machine-learning components during operation time for performing autonomy functions. Currently, for non-AI system, the safety is assessed prior to the system deployment and the safety assessment results are compiled into a safety case that remains valid through system life. For novel systems integrating AI components, particularly the self-learners systems, such engineering and assurance approach are not applicable as the system can exhibit new behavior in front of unknown situations during operation. The goal of the postdoc will be to define an engineering approach to perform accurate safety assessment of AI systems. A second objective is to define assurance case artefacts (claims, evidences, etc.) to obtain & preserve justified confidence in the safety of the system through its lifetime, particularly for AI system with operational learning. The approach will be implemented in an open-source framework that it will be evaluated on industry-relevant applications. The position holder will join a research and development team in a highly stimulating environment with unique opportunities to develop a strong technical and research portfolio. He will be required to collaborate with LSEA academic & industry partners, to contribute and manage national & EU projects, to prepare and submit scientific material for publication, to provide guidance to PhD students.

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